Full-Service Growth Management
Advertising Execution
Marketplace Operations
Full-Service Growth Management
Advertising Execution
Marketplace Operations
META ADVERTISING
Eva brings commerce-grade audience data — from Shopify and beyond — to Meta advertising. Better signals. Better creative strategy. Measurement built on Conversions API so the algorithm works on real data, not guesswork.
The Problem
iOS 14 broke the Meta Pixel. The Andromeda algorithm update shifted performance away from audience targeting toward creative quality. Advantage+ campaigns now require first-party data signals to work at full power . Most agencies are still running 2021 playbooks — interest-based targeting, pixel-only tracking, and manual audience segmentation — and wondering why costs keep rising.
THE EVA DIFFERENCE
Eva builds Meta campaigns on the infrastructure that makes the algorithm perform: Conversions API for accurate server-side tracking, commerce-grade first-party audiences seeded from real purchasers, and a structured creative testing system — not single ad launches.
FULL-FUNNEL AUDIENCE ARCHITECTURE
Meta’s full funnel is not a single campaign. Each stage requires a different audience, a different creative approach, and a different success metric. Eva structures all four — with suppression logic ensuring audiences don’t overlap and budgets don’t duplicate.
What Eva Manages
CAPI + Pixel + Shopify Integration. Before campaigns launch, measurement is built correctly. Eva implements Meta Conversions API (server-side) alongside the Pixel to provide iOS-proof, complete purchase signal data. Shopify purchase events are mapped correctly and verified. Without this, Advantage+ and every other campaign type is trained on incomplete data.
Commerce-grade first-party data. Most agencies seed Lookalike audiences from website visitors. Eva seeds from actual purchasers — Shopify customer lists enriched with product affinity and purchase frequency data. Suppression lists are applied at every stage so acquisition budgets target only new buyers.
Advantage+ Shopping Campaigns are Meta’s primary AI-driven format for ecommerce — but they perform proportionally to signal and creative quality. Eva structures ASC with first-party audience signals, product catalogue optimisation, and a structured creative asset library. Manual campaigns run in parallel where granular control improves performance.
Creative is the primary performance lever on Meta in 2026. Eva manages creative strategy as a structured system. Hooks, formats (static, video, carousel, UGC-style), angles, and offers are tested independently against defined hypotheses. Winning concepts are scaled. Losing concepts are replaced. The system runs continuously, not in quarterly bursts.
Eva vs Standard Agency
1
2
3
Capability
Eva Commerce
Standard Agency
CAPI + Pixel — server-side, iOS-proof, complete signal data
Pixel only — iOS-impacted, ~35% data
Audience seeding
Shopify purchasers— real buyers, not browsers
Shopify purchase history, product affinity, LTV cohorts
Meta signals only
Fed with commerce first-party signals and creative library
Systematic creative testing — hooks, formats, angles, offers
Occasional new ads,
limited testing
Existing customers excluded from acquisition campaigns
Not consistently applied
Coordinated with Shopify lifecycle flows — post-purchase sequences
Not managed
Shopify PDPs and landing pages optimised with ads as one system
Not managed
Morinaga
Scaling Amazon Growth Across US and Japan with Eva’s Unified Commerce System
Cricket
The Cricket Company Doubles Amazon Ad Sales While Improving Profitability with Eva’s Commerce Growth System
Happy Products
Scaling Amazon Revenue and Profit with Eva’s Growth System
Maelys
Scaling TikTok Shop Revenue While Increasing Shopify Conversion and Profitability
Perupima
Scaling Shopify Revenue and Conversion with Eva’s Conversion Intelligence
View All Case Studies
Eva helped us align our Amazon operations across the US and Japan into one system. By connecting advertising, content, and inventory, we gained better visibility and control over performance.
This allowed us to improve conversion, stabilize operations, and scale more efficiently across both markets.
Teruhiro Kawabe
Chief Marketing Officer
Eva brought structure and intelligence to our Amazon advertising. By combining AI-driven optimization with expert execution, we were able to double our ad sales within six months while maintaining strong return on spend.
Tina Fichera
VP of eCommerce, The Cricket Company
I see Eva as the system that connects demand, ranking, and conversion across Amazon, Shopify, and TikTok. Their combination of AI and expert operators has significantly increased our visibility while improving profitability.
Juliette Fasset
CEO, Happy Products Inc.
“Eva helped us turn TikTok into a real revenue engine, not just a content channel.
What changed was the structure. Creator activity became measurable, scalable, and directly tied to revenue.
We moved from unpredictable spikes to consistent growth.”
Beth Milligan
Operations Director, Drybar
Eva enabled us to unify Amazon advertising, data, and execution into one system. This allowed us to scale demand efficiently while maintaining strong control over profitability across markets.
Linda Vargova
Head of eCommerce, MyProtein
Real outcomes from brands using Eva across Amazon, Shopify, and TikTok
Based on aggregated performance across Eva-managed brands
The Meta Pixel is browser-side — it’s blocked by iOS privacy settings, with effective opt-in rates around 35%. The Conversions API sends conversion data directly from your Shopify server to Meta’s server, bypassing browser restrictions entirely. Running both together gives Meta’s algorithm complete, accurate purchase data — the foundation every campaign type is optimised on. Without CAPI, Advantage+ and every other campaign is trained on less than half the real data.
Lookalike performance scales with the quality of the seed audience. Website visitors include browsers, bouncers, and people who added to cart but never bought. Shopify purchasers are actual buyers — a fundamentally higher-quality signal. Eva builds Lookalikes from purchase lists, not traffic, and enriches them with product affinity and frequency data. The resulting audiences find buyers, not browsers.
Advantage+ Shopping Campaigns are Meta’s AI-driven format that automates audience targeting, creative selection, and budget allocation. Performance scales with signal quality and creative asset depth. Eva feeds ASC with first-party purchase signals and a structured creative library — rather than launching it with minimal assets and generic audiences as most agencies do.
Meta’s Andromeda algorithm update shifted performance away from manual audience targeting toward creative quality. The algorithm now finds audiences based on who responds to the creative — meaning the creative determines who sees the ad, not just whether they respond to it. Agencies that rely on audience targeting as the primary lever without a systematic creative testing framework consistently underperform those that treat creative strategy as the core discipline.
Get Started
Most brands underperform it because measurement is wrong,
campaigns aren’t structured by buyer state,
and the landing page is never optimised. We fix all three — before scaling spend.
